Finite-state super transducers for compact language resource representation in edge voice-AI
Finite-state transducers have been proven to yield compact representations of pronunciation dictionaries used for grapheme-to-phoneme conversion in speech engines running on low-resource embedded platforms. However, for highly inflected languages even more efficient language resource reduction metho...
Main Authors: | Simon Dobrišek, Žiga Golob, Jerneja Žganec Gros |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
|
Series: | Systems Science & Control Engineering |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2022.2089930 |
Similar Items
-
Near-Optimal Active Learning for Multilingual Grapheme-to-Phoneme Conversion
by: Dezhi Cao, et al.
Published: (2023-08-01) -
Language context modulates reading route: an electrical neuroimaging study
by: Karin Andrea Buetler, et al.
Published: (2014-02-01) -
WRITING PROFICIENCY IN TRANSPARENT ORTHOGRAPHIES: WHEN DO ROMANIAN CHILDREN START TO SPELL CORRECTLY?
by: DACIAN DORIN DOLEAN, et al.
Published: (2013-12-01) -
Le soninké dans les manuscrits islamiques : Corrélation entre les correspondances graphématiques et phonémiques
by: Djibril Dramé
Published: (2021-12-01) -
نAn Investigation of Aban Yasht
by: Ehsan Changizi
Published: (2014-09-01)